Backend Engineer jobs in New York, NY

The engineer will design and maintain intelligent customer placement, auto-balancing, and autoscaling systems for a large-scale multi-tenant data platform. They will also lead technical strategy, drive operational rigor, and collaborate with cross-functional teams to ensure system reliability and performance.

Design, build, and optimize high-performance C# systems, backend services, and tooling for AI data pipelines, annotation, validation, and evaluation workflows. Improve production system reliability, performance, and safety, and collaborate with research, data, and engineering teams to resolve bottlenecks and support model training and evaluation.

Design, build, and optimize high-performance C++ systems, backend services, and tooling for AI data pipelines, annotation, validation, quality control, and evaluation. Improve existing systems' reliability, performance, and correctness, identify and resolve bottlenecks, and collaborate with research, data, and engineering teams on architecture and implementation.

Lead the design, development, and optimization of Python backend systems, data pipelines, annotation tools, APIs, and evaluation infrastructure for AI model training and assessment. Improve production system reliability, performance, and safety, and guide architecture decisions through design and code reviews with cross-functional teams.

Build backend software and design data structures to address the complexities of healthcare. Contribute across the codebase, help shape company culture, and guide product direction from an engineering perspective.

Build platforms, systems, services, and tools that support internal and external teams working with large-scale production systems and improve engineering productivity. Design, develop, test, deploy, maintain, and improve software while introducing new technologies and ideas to the platform.

You will own and scale backend systems powering user experiences across API and product platforms while leading complex, multi-month technical projects. You will drive alignment across research and product teams to translate frontier model improvements into robust, scalable, and user-centric software solutions.

Build and operate reliable integrations, event pipelines, and backend APIs that enable AI agents to look up customer information, book appointments, and update CRM records. Ensure data integrity and production reliability through sound failure handling, monitoring, recovery tools, and collaboration with product and engineering teams.

Design, implement, and operate critical, scalable backend services including user identity, friend graph, and persistence layers. Collaborate across teams to evaluate product requirements and deliver high-quality, secure, and performant solutions.

You will build and own the backend services and APIs that power patient apps and clinical workflows. Additionally, you will integrate healthcare systems, manage cloud infrastructure, and ensure the security and reliability of AI-powered clinical tools.

Build scalable client onboarding solutions and performant data workflows that help clients integrate financial data into Addepar's platform. Lead engineering projects from architecture and estimation through implementation, collaborate across product and client teams, and mentor other engineers.

Design and scale resilient backend services, APIs, data models, and secure real-time data flows that support patient features and critical healthcare operations. Lead integrations with healthcare and insurance partners, ensure system reliability and security, and collaborate across teams while using AI tools to improve software delivery.

Build and operate backend services for campaign execution, phone and SMS workflows, and collection of results, using TypeScript, Rust, and AWS. Develop reliable long-running workflows and event processing, integrate scoped access checks, and monitor service performance, authorization, and tenant isolation.

You will lead the architecture and delivery of live video systems, including ingest, transcoding, and playback, while building scalable backend services. Additionally, you will drive vendor evaluations, establish observability practices, and mentor engineers to ensure high-quality, reliable streaming experiences.

Design and implement backend services and APIs for critical financial products, ensuring they are scalable, reliable, secure, and maintain data integrity. Collaborate across product, frontend, and platform teams, while raising technical standards through design and code reviews and mentoring engineers.

Design, build, and operate distributed backend systems for ingesting, processing, storing, and serving high-frequency telemetry and multimodal hardware data. Improve scalability, data correctness, fault tolerance, latency, and reliability while contributing to architecture and collaborating across engineering teams.

Architect and build scalable, low-latency backend systems, including critical APIs and infrastructure supporting communications, storage, machine-learning feeds, and social features. Collaborate with product, infrastructure, and data teams, mentor engineers, and drive technical decisions and cross-team projects.

Lead the architecture and delivery of complex Fanatics Live initiatives, building scalable systems for live commerce, discovery, community interaction, and transactions. Stay hands-on in implementation and production support while setting technical standards, improving reliability and performance, mentoring engineers, and aligning teams and stakeholders.

Build and operate reliable, bidirectional integrations with government and enterprise partners, using asynchronous workflows, defensive error handling, and reusable platform patterns. Automate manual support processes, improve observability and production reliability, and collaborate with external partners and internal teams on integration changes.

Lead the architecture, development, and operation of global payments and billing systems, including payment processing, invoicing, reconciliation, compliance, and financial reliability. Guide the team's use of AI agents, modernize legacy systems, establish secure and reliable engineering practices, and mentor engineers while collaborating across product, finance, risk, and platform teams.

Design, build, and operate the backend services and infrastructure powering Within’s AI platform, including data ingestion, APIs, background processing, and reliable AI orchestration workflows. Set technical direction for critical systems, establish security and evaluation practices, and partner across product and engineering while mentoring teammates.

Own large-scale projects from discovery through launch, collaborating with cross-functional teams to solve customer challenges and improve existing systems. Enhance high-volume processing infrastructure, testing, monitoring, and deployment capabilities while securing sensitive data and supporting engineering excellence through mentorship and knowledge-sharing.

Own large-scale projects from discovery through launch, collaborating across functions to solve customer challenges and improve system performance, reliability, and scalability. Strengthen high-volume processing, testing, monitoring, deployment, and data security while providing technical leadership, knowledge-sharing, and mentorship.

Own and improve the company’s data platform end to end, including data collection, event-driven pipelines, storage, monitoring, backend services, infrastructure, and security. Consolidate and document systems, improve reliability and cost efficiency, and communicate data limitations while supporting junior engineers.

Build and maintain backend services, APIs, tools, and applications for AI-powered clinical documentation and medical coding products. Collaborate with product, design, and machine learning teams, contribute to platform architecture and code reviews, and mentor junior engineers.

Design, build, and maintain backend services and APIs, including data models, database performance improvements, and third-party integrations. Improve reliability, security, and observability; write and review tested, maintainable code; investigate production issues; and help guide technical decisions as the product grows.

Design, build, deploy, maintain, and monitor scalable, reliable backend applications, ensuring performance, security, and availability. Evaluate platform technologies, review peer code, contribute to technical debt and feature planning, and collaborate across teams to improve the platform and customer experience.

Build and own backend platform features across recording, integrations, and AI agents, from architectural decisions through implementation, deployment, and support. Design scalable services for real-time conversation processing, maintain system health, and collaborate with product and design teams to deliver customer-focused solutions.

Build and operate backend services, APIs, and data pipelines that process real-time neurological data, and bring machine-learning models into production. Improve platform reliability and observability while supporting regulated medical-device standards, including cybersecurity, traceability, and change control.

The Staff Software Engineer will lead the design and development of complex claims and payment processing systems while mentoring engineering teams. They are responsible for driving technical roadmaps, ensuring system reliability, and facilitating cross-team collaboration to deliver high-quality software solutions.